#CONDA INSTALL PACKAGE ENVIRONMENT UPDATE#
#CONDA INSTALL PACKAGE ENVIRONMENT SOFTWARE#

You can install the identical packages into a newly created environment. The second option comes from the conda command itself and specifies the location of the file, as well. The first backup option is from the conda-env command and tries to reproduce the environment by name and version. Install requirements file into environment:Д¬onda create -name scipy-1.1.0 -file scipy-1.1.0-np115pењ“6_6.txt Older versions of conda (scipy-1.1.0-np115pењ“6_6.txt

#CONDA INSTALL PACKAGE ENVIRONMENT SOFTWARE#

In order to use the software in an environment you'll need to activate it first:Дeactivate to use different Python or software version: Install packages and create a new environment:Д¬onda create -n scipy_py27 scipy python=2.7 You can create python environments and install packages into these environments or create them during install:

If you don't specify a new envs_dir Conda will use ~/.conda/envs in your home directory as the default installation path (same applies to pkgs_dirs).

The last step defines the newly created workspace as the download and installation path for your environments:Д¬onda config -prepend envs_dirs $( ws_find conda )/conda/envsД¬onda config -prepend pkgs_dirs $( ws_find conda )/conda/pkgs Module avail devel/conda # list Conda modules If a Conda Module is provided you can just load it and create environments a workspace.

#CONDA INSTALL PACKAGE ENVIRONMENT UPDATE#

Optional: Update conda (usually base enviroment):ДЎ.2 (B) Use a centrally installed Conda Module Optional: Add source path in your local ~/.bashrc (edit file): Source $( ws_find conda )/conda/etc/profile.d/conda.sh 100, for 100 daysД«ash miniconda.sh -b -p $( ws_find conda )/conda Otherwise $HOME/.conda will be used as default Conda path.Д¬reate workspace for your conda environments: We suggest using workspaces for Conda installation. One to install Conda itself, the other is to load a central installation if possible.ДЎ.1 (A) Installing Conda into a Workspace There are two possibilities of using Conda.

1.8.1 Local channels and backup Conda packagesД¬onda can be used to easily install missing Python packages on your own into different Python environments with different versions in your own work spaces.

1.8 Create Reproducible Conda Environments.

1.2 (B) Use a centrally installed Conda Module.

1.1 (A) Installing Conda into a Workspace.

Conda install package environment